Patrick Taeschler

1.0k total citations · 1 hit paper
7 papers, 331 citations indexed

About

Patrick Taeschler is a scholar working on Infectious Diseases, Neurology and Immunology. According to data from OpenAlex, Patrick Taeschler has authored 7 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Neurology and 2 papers in Immunology. Recurrent topics in Patrick Taeschler's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers) and Long-Term Effects of COVID-19 (4 papers). Patrick Taeschler is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (6 papers) and Long-Term Effects of COVID-19 (4 papers). Patrick Taeschler collaborates with scholars based in Switzerland, Germany and Sweden. Patrick Taeschler's co-authors include Sarah Adamo, Jakob Nilsson, Onur Boyman, Miro E. Raeber, Carlo Cervia, Yves Zurbuchen, Lars C Huber, Sara Hasler, Esther Bächli and Alain Rudiger and has published in prestigious journals such as Nature, Nature Communications and Nature Immunology.

In The Last Decade

Patrick Taeschler

7 papers receiving 323 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome

2022 139 citations Carlo Cervia, Yves Zurbuchen et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Patrick Taeschler Switzerland	6	202	184	76	62	49	7	331
Melina Stüssi‐Helbling Switzerland	7	246 1.2×	224 1.2×	72 0.9×	61 1.0×	57 1.2×	15	386
Carlo Cervia Switzerland	8	315 1.6×	235 1.3×	126 1.7×	84 1.4×	54 1.1×	10	470
Yasmeen Senussi United States	4	292 1.4×	265 1.4×	45 0.6×	95 1.5×	45 0.9×	6	455
Arthur Eng Lip Yeow Australia	2	106 0.5×	120 0.7×	33 0.4×	40 0.6×	30 0.6×	2	193
Sara Hasler Switzerland	4	126 0.6×	161 0.9×	20 0.3×	39 0.6×	49 1.0×	4	222
Sanghita Sarkar United States	5	167 0.8×	95 0.5×	36 0.5×	32 0.5×	30 0.6×	7	230
Logan R. Van Nynatten Canada	7	91 0.5×	104 0.6×	52 0.7×	49 0.8×	17 0.3×	16	242
Taru S. Dutt United States	10	130 0.6×	42 0.2×	43 0.6×	58 0.9×	15 0.3×	22	228
Quan Cao China	4	204 1.0×	137 0.7×	14 0.2×	43 0.7×	14 0.3×	7	264
Charlotte Nazon France	5	167 0.8×	73 0.4×	40 0.5×	41 0.7×	19 0.4×	6	239

Countries citing papers authored by Patrick Taeschler

Since Specialization

Citations

This map shows the geographic impact of Patrick Taeschler's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Patrick Taeschler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Taeschler more than expected).

Fields of papers citing papers by Patrick Taeschler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Taeschler. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Patrick Taeschler. The network helps show where Patrick Taeschler may publish in the future.

Co-authorship network of co-authors of Patrick Taeschler

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Taeschler. A scholar is included among the top collaborators of Patrick Taeschler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patrick Taeschler. Patrick Taeschler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Zurbuchen, Yves, Patrick Taeschler, Sarah Adamo, et al.. (2023). Human memory B cells show plasticity and adopt multiple fates upon recall response to SARS-CoV-2. Nature Immunology. 24(6). 955–965. 20 indexed citations

2.

Zurbuchen, Yves, Patrick Taeschler, Sarah Adamo, et al.. (2023). Human memory B cells show plasticity and adopt multiple fates upon recall response to SARS-CoV-2. Zurich Open Repository and Archive (University of Zurich). 1 indexed citations

3.

Taeschler, Patrick, Carlo Cervia, Yves Zurbuchen, et al.. (2022). Autoantibodies in COVID‐19 correlate with antiviral humoral responses and distinct immune signatures. Allergy. 77(8). 2415–2430. 38 indexed citations

4.

Cervia, Carlo, Yves Zurbuchen, Patrick Taeschler, et al.. (2022). Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome. Nature Communications. 13(1). 446–446. 139 indexed citations breakdown →

5.

Taeschler, Patrick, Sarah Adamo, Yun Deng, et al.. (2022). T‐cell recovery and evidence of persistent immune activation 12 months after severe COVID‐19. Allergy. 77(8). 2468–2481. 31 indexed citations

6.

Adamo, Sarah, Yves Zurbuchen, Carlo Cervia, et al.. (2021). Signature of long-lived memory CD8+ T cells in acute SARS-CoV-2 infection. Nature. 602(7895). 148–155. 88 indexed citations

7.

Cervia, Carlo, Yves Zurbuchen, Patrick Taeschler, et al.. (2021). Immunoglobulin Signature Predicts Risk of Post-Acute Covid-19 Syndrome. SSRN Electronic Journal. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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